{"id":"W2796521245","doi":"","title":"Hasta Hakları Bilgi Düzeyi ile Hasta Güçlendirme Arasındaki İlişki","year":2017,"lang":"tr","type":"dissertation","venue":"Hacettepe University Institutional Repository (hacettepe.edu.tr)","topic":"Legal Issues in Turkey","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hasta; Medicine; Gynecology; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001206287,0.0007876664,0.001083328,0.001029247,0.001550874,0.002827363,0.0005409716,0.001354653,0.01878099],"category_scores_gemma":[0.001916329,0.0002865297,0.0008091342,0.0008300471,0.001191992,0.001997688,0.001405991,0.002028444,0.003985439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603513,"about_ca_system_score_gemma":0.002522733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0040454,"about_ca_topic_score_gemma":0.004126031,"domain_scores_codex":[0.9993421,0.0001032976,0.00009252906,0.00007663725,0.0002169002,0.0001683472],"domain_scores_gemma":[0.9992624,0.0001601182,0.0001648824,0.00003115338,0.0002796016,0.0001018845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002018017,0.00117638,0.07267049,0.003585801,0.0002020003,0.012566,0.007247857,0.001503391,0.01387801,0.02826973,0.06130636,0.7955759],"study_design_scores_gemma":[0.0003845153,0.002377988,0.2274811,0.005643139,0.0006788817,0.04524598,0.04246948,0.006930956,0.01978036,0.02410207,0.624365,0.0005405809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6400102,0.106729,0.01830919,0.03330385,0.003888128,0.0005149221,0.001315819,0.0007802755,0.1951486],"genre_scores_gemma":[0.893805,0.04836508,0.01227895,0.003324809,0.000743076,0.0002548181,0.001354394,0.0001036427,0.03977026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878099,"threshold_uncertainty_score":0.0628286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901673177519199,"score_gpt":0.2730291628890493,"score_spread":0.2540124311138573,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}